About the role
About Us:
Foundation AI is the only AI Native documents intake automation platform serving the claims and litigation industries. Founded in 2019 by a team of lawyers and data scientists, Foundation AI processes millions of documents each month for hundreds of US law firms, including many of the largest and most respected plaintiff and injury law firms in the country. Find out more at www.foundationai.com.
Job Overview:
At Foundation AI, as a Data Verification Analyst, you will play a crucial role in validating and reviewing healthcare-related documents with a high degree of accuracy. You will be responsible for processing medical records and billing documents while ensuring data integrity and quality using our AI-powered platform. Your attention to detail and proficiency in software tools will be essential for successfully managing healthcare documentation and supporting document automation initiatives.
Key Responsibilities:
Data Segregation and Review:
Process, segregate, review, and validate healthcare-related documents according to established quality standards and process requirements.
Review and validate healthcare documents including HCFA Bills, Non-HCFA Bills, UB-04 Bills, Medical Records, and Liens.
Utilize the AI application to tag, validate, and process healthcare documents accurately.
Identify and extract relevant information from healthcare documentation while maintaining high accuracy and productivity standards.
Data Capture and Formatting:
Prepare, compile, and organize healthcare documents for accurate data capture and validation.
Log and verify the receipt of data, maintaining an organized record of incoming information.
Transfer information from scanned files, including images, PDFs, and Microsoft files, into a standardized format.
Data Entry and Verification:
Conduct high-volume data entry using word processing, spreadsheet, database, or other software tools.
Compare data to source documents to ensure its integrity and accuracy.
Review data for errors, missing pages, or missing information, resolving any discrepancies encountered.
Document Management and Confidentiality:
Establish and maintain a filing system to efficiently manage data and documents. Safeguard confidential customer information and adhere to data privacy protocols.
Perform regular backups to ensure data preservation and prevent loss.
Data Retrieval and Reporting:
Respond to requests for data retrieval from the database or electronic filing system.
Generate reports and summaries based on processed data as required. Need to adhere and comply with the daily targets and monthly targets of productivity and quality.
Responsibilities may be tailored based on the candidate’s experience and proficiency.
Qualification & Skills:
1–3 years of experience in the healthcare industry, with familiarity in healthcare documentation and medical records.
Experience reviewing or processing healthcare documents such as HCFA Bills, Non-HCFA Bills, UB-04 Bills, Medical Records, or similar documentation.
Excellent typing speed with a high level of data accuracy.
Strong attention to detail and the ability to conduct thorough document reviews.
Proficiency in using software applications and the ability to quickly adapt to new technologies, including AI-powered platforms.
Strong organizational and analytical skills.
High level of accuracy while validating information against source documents.
Understanding of data privacy and confidentiality principles.
Strong communication skills to effectively collaborate with team members and respond to data requests.
Education:
A Bachelor’s degree or equivalent qualification, (minimum 12+3 years of formal education) in any discipline, is required.
Our Commitment:
Foundation AI is an equal opportunity employer committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic. Our hiring decisions are based solely on qualifications, merit, and business needs at the time.
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Originally posted on Himalayas